B-cell Epitope Prediction through a Graph Model

B-cell Epitope Prediction through a Graph Model

Prediction of B-cell epitopes from antigens is useful to understand the immune basis of antibody-antigen recognition, and is helpful in vaccine design and drug development. Tremendous efforts have been devoted to this long-studied problem, however, existing methods have at least two common limitatio...

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Main Authors: ZHAO, Liang, WONG, Limsoon, LU, Lanyuan, HOI, Steven C. H., LI, Jinyan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Protein Data Bank
Accessible Surface Area
Boundary Edge
Residue Type
Residue Pair
Bioinformatics
Computer Sciences
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/2271
https://ink.library.smu.edu.sg/context/sis_research/article/3271/viewcontent/B_CellEpitopePrediction_2012.pdf
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-32712020-03-31T06:25:04Z B-cell Epitope Prediction through a Graph Model ZHAO, Liang WONG, Limsoon LU, Lanyuan HOI, Steven C. H. LI, Jinyan Prediction of B-cell epitopes from antigens is useful to understand the immune basis of antibody-antigen recognition, and is helpful in vaccine design and drug development. Tremendous efforts have been devoted to this long-studied problem, however, existing methods have at least two common limitations. One is that they only favor prediction of those epitopes with protrusive conformations, but show poor performance in dealing with planar epitopes. The other limit is that they predict all of the antigenic residues of an antigen as belonging to one single epitope even when multiple non-overlapping epitopes of an antigen exist. 2012-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2271 info:doi/10.1186/1471-2105-13-S17-S20 https://ink.library.smu.edu.sg/context/sis_research/article/3271/viewcontent/B_CellEpitopePrediction_2012.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Protein Data Bank Accessible Surface Area Boundary Edge Residue Type Residue Pair Bioinformatics Computer Sciences Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Protein Data Bank
Accessible Surface Area
Boundary Edge
Residue Type
Residue Pair
Bioinformatics
Computer Sciences
Databases and Information Systems
spellingShingle Protein Data Bank
Accessible Surface Area
Boundary Edge
Residue Type
Residue Pair
Bioinformatics
Computer Sciences
Databases and Information Systems
ZHAO, Liang
WONG, Limsoon
LU, Lanyuan
HOI, Steven C. H.
LI, Jinyan
B-cell Epitope Prediction through a Graph Model
description Prediction of B-cell epitopes from antigens is useful to understand the immune basis of antibody-antigen recognition, and is helpful in vaccine design and drug development. Tremendous efforts have been devoted to this long-studied problem, however, existing methods have at least two common limitations. One is that they only favor prediction of those epitopes with protrusive conformations, but show poor performance in dealing with planar epitopes. The other limit is that they predict all of the antigenic residues of an antigen as belonging to one single epitope even when multiple non-overlapping epitopes of an antigen exist.
format text
author ZHAO, Liang
WONG, Limsoon
LU, Lanyuan
HOI, Steven C. H.
LI, Jinyan
author_facet ZHAO, Liang
WONG, Limsoon
LU, Lanyuan
HOI, Steven C. H.
LI, Jinyan
author_sort ZHAO, Liang
title B-cell Epitope Prediction through a Graph Model
title_short B-cell Epitope Prediction through a Graph Model
title_full B-cell Epitope Prediction through a Graph Model
title_fullStr B-cell Epitope Prediction through a Graph Model
title_full_unstemmed B-cell Epitope Prediction through a Graph Model
title_sort b-cell epitope prediction through a graph model
publisher Institutional Knowledge at Singapore Management University
publishDate 2012
url https://ink.library.smu.edu.sg/sis_research/2271
https://ink.library.smu.edu.sg/context/sis_research/article/3271/viewcontent/B_CellEpitopePrediction_2012.pdf
_version_ 1770572043446648832

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